About the role
Introduction About SymphonyAI SymphonyAI is one of the fastest-growing enterprise AI companies in the world, building purpose-built AI solutions for the retail, CPG, financial services, manufacturing, and supply chain sectors. Backed by founder Dr. Romesh Wadhwani, SymphonyAI operates at the intersection of deep domain expertise and cutting-edge artificial intelligence, serving many of the world’s largest retailers, manufacturers, and consumer goods companies. The Supply Chain Division is a critical growth engine within SymphonyAI, responsible for delivering AI-powered planning, execution, and decision intelligence solutions to global supply chain organizations. Our platform spans demand forecasting, inventory optimization, warehouse management, transportation planning, supplier collaboration, and end-to-end supply chain visibility — all unified by a modern, cloud-native intelligence layer. We are seeking a transformational SVP based in EMEA to lead the next era of our Supply Chain technology platform — a leader who can bridge the legacy world of traditional supply chain systems with the modern frontier of generative AI, agentic intelligence, and composable SaaS architectures. Job Description About SymphonyAI SymphonyAI is a global leader in enterprise AI, delivering industry-specific SaaS solutions that help retailers, manufacturers, distributors, and consumer goods companies optimize their supply chains through intelligent planning, execution, and automation. We are looking for a Senior Vice President of Engineering to lead the engineering organization for our Retail Supply Chain platform. This executive will drive the evolution of a mission-critical enterprise platform serving global customers while balancing operational excellence with long-term modernization. The ideal leader is equally comfortable scaling engineering organizations, modernizing complex legacy platforms, and partnering with product and customers to deliver business outcomes.
What You'll Own Engineering Leadership Lead and scale a high-performing global engineering organization, with a primary development presence in France. Build a culture of accountability, technical excellence, innovation, and customer focus. Develop engineering leaders and establish predictable execution across multiple product teams. Drive engineering metrics around quality, reliability, security, scalability, and delivery. Platform Strategy & Execution Own the end-to-end engineering strategy, architecture, and delivery for SymphonyAI's Retail Supply Chain platform. Ensure the stability, performance, and availability of mission-critical enterprise applications used by global retailers. Balance customer commitments, technical debt reduction, modernization initiatives, and new product innovation. Platform Modernization Lead the transformation of a mature enterprise platform by driving: API-first architecture Event-driven systems and streaming technologies (Kafka preferred) Cloud-native services across Oracle Cloud Infrastructure (OCI) and Microsoft Azure Modern engineering practices, automation, observability, and DevOps Execute modernization through incremental evolution while maintaining uninterrupted service for enterprise customers. AI & Intelligent Platform Innovation Embed AI capabilities across the platform, including intelligent workflows, automation, predictive insights, and data enrichment. Partner with Product, Data Science, and Architecture teams to define the next generation of AI-powered supply chain capabilities. Champion the adoption of emerging technologies that improve customer outcomes and engineering productivity. Cross-Functional Leadership Partner closely with Product Management, Customer Success, Professional Services, and Executive Leadership. Translate technical investments into measurable customer and business value. Participate in executive customer engagements, providing strategic technical leadership for large enterprise accounts. What Success Looks Like A highly reliable, scalable, enterprise-grade supply chain platform Successful modernization of legacy technologies without disrupting customers Increased engineering velocity and predictable delivery AI capabilities embedded across the platform Strong engineering culture with high engagement and retention Trusted partnership with product, customers, and executive leadership Required
